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Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis.

Guido M Linders1,2, Max M Louwerse3

  • 1Department of Cognitive Science & Artificial Intelligence, Tilburg University, Tilburg, Netherlands. guido.linders@uzh.ch.

Behavior Research Methods
|November 29, 2023
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Summary

Lingualyzer is a new, free tool providing 351 linguistic measures across 41 languages for cross-linguistic research. It supports behavioral scientists lacking computational expertise, enabling text analysis at sentence, paragraph, and document levels.

Keywords:
Computational linguisticsCross-linguisticMultilingualQuantitative linguisticsText analysis

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Area of Science:

  • Computational linguistics
  • Behavioral sciences
  • Interdisciplinary research

Background:

  • Existing natural language processing tools are predominantly English-centric.
  • Limited computational linguistic resources are available for non-English languages and cross-linguistic comparisons.
  • Researchers in behavioral and interdisciplinary fields often lack the computational expertise for advanced text analysis.

Purpose of the Study:

  • To introduce Lingualyzer, a freely accessible, multilingual text analysis tool.
  • To provide researchers with an easy-to-use interface for computational linguistic analysis.
  • To support cross-linguistic research in behavioral and related sciences.

Main Methods:

  • Development of Lingualyzer, a web-based platform.
  • Inclusion of 351 multidimensional linguistic measures.
  • Support for text analysis across 41 languages at sentence, paragraph, and document levels.

Main Results:

  • Lingualyzer offers a comprehensive suite of linguistic measures.
  • The tool is accessible via an intuitive, user-friendly interface.
  • Validation studies demonstrate the tool's efficacy.

Conclusions:

  • Lingualyzer bridges the gap in computational linguistic tools for non-English languages.
  • It empowers researchers without programming skills to conduct sophisticated text analysis.
  • Facilitates cross-linguistic research and interdisciplinary collaboration.